MALDI imaging mass spectrometry profiling of proteins and lipids in clear cell renal cell carcinoma

被引:67
作者
Jones, Elizabeth Ellen [1 ]
Powers, Thomas W. [1 ]
Neely, Benjamin A. [1 ]
Cazares, Lisa H. [2 ]
Troyer, Dean A. [2 ]
Parker, Alexander S. [3 ,4 ]
Drake, Richard R. [1 ]
机构
[1] Med Univ S Carolina, MUSC Prote Ctr, Dept Cell & Mol Pharmacol, Charleston, SC 29425 USA
[2] Eastern Virginia Med Sch, Dept Microbiol & Mol Cell Biol, Norfolk, VA 23501 USA
[3] Mayo Clin Florida, Dept Hlth Sci Res, Jacksonville, FL USA
[4] Mayo Clin Florida, Dept Urol, Jacksonville, FL USA
基金
美国国家卫生研究院;
关键词
Biomedicine; Lipid profiling; MALDI-FT-ICR; MALDI imaging; Renal cancer; Tissue proteomics; CANCER; IDENTIFICATION; EXPRESSION; MANAGEMENT; SURVIVAL; MARKERS; NEPHRECTOMY; FEATURES; GRADE; SIZE;
D O I
10.1002/pmic.201300434
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
Reducing the incidence and mortality rates for clear cell renal cell carcinoma (ccRCC) remains a significant clinical challenge with poor 5-year survival rates. A unique tissue cohort was assembled of matched ccRCC and distal nontumor tissues (n = 20) associated with moderate risk of disease progression, half of these from individuals who progressed to metastatic disease and the other half who remained disease free. These tissues were used for MALDI imaging MS profiling of proteins in the 2-20 kDa range, resulting in a panel of 108 proteins that had potential disease-specific expression patterns. Protein lysates from the same tissues were analyzed by MS/MS, resulting in identification of 56 proteins of less than 20 kDa molecular weight. The same tissues were also used for global lipid profiling analysis by MALDI-FT-ICR MS. From the cumulative protein and lipid expression profile data, a refined panel of 26 proteins and 39 lipid species was identified that could either distinguish tumor from nontumor tissues, or tissues from recurrent disease progressors from nonrecurrent disease individuals. This approach has the potential to not only improve prognostic assessment and enhance postoperative surveillance, but also to inform on the underlying biology of ccRCC progression.
引用
收藏
页码:924 / 935
页数:12
相关论文
共 47 条
[1]
[Anonymous], AM J CLIN ONCOL
[2]
[Anonymous], J MOL BIOMARK DIAGN
[3]
[Anonymous], 2013, NATURE
[4]
MALDI imaging mass spectrometry for direct tissue analysis: technological advancements and recent applications [J].
Balluff, Benjamin ;
Schoene, Cedrik ;
Hoefler, Heinz ;
Walch, Axel .
HISTOCHEMISTRY AND CELL BIOLOGY, 2011, 136 (03) :227-244
[5]
Intraoperative Tissue Identification Using Rapid Evaporative Ionization Mass Spectrometry [J].
Balog, Julia ;
Sasi-Szabo, Laszlo ;
Kinross, James ;
Lewis, Matthew R. ;
Muirhead, Laura J. ;
Veselkov, Kirill ;
Mirnezami, Reza ;
Dezso, Balazs ;
Damjanovich, Laszlo ;
Darzi, Ara ;
Nicholson, Jeremy K. ;
Takats, Zoltan .
SCIENCE TRANSLATIONAL MEDICINE, 2013, 5 (194)
[6]
Signaling pathways in renal cell carcinoma [J].
Banumathy, Gowrishankar ;
Cairns, Paul .
CANCER BIOLOGY & THERAPY, 2010, 10 (07) :658-664
[7]
Cancer detection and biopsy classification using concurrent histopathological and metabolomic analysis of core biopsies [J].
Brown, Meredith V. ;
McDunn, Jonathan E. ;
Gunst, Philip R. ;
Smith, Elizabeth M. ;
Milburn, Michael V. ;
Troyer, Dean A. ;
Lawton, Kay A. .
GENOME MEDICINE, 2012, 4
[8]
Tissue profiling by mass spectrometry - A review of methodology and applications [J].
Caldwell, RL ;
Caprioli, RM .
MOLECULAR & CELLULAR PROTEOMICS, 2005, 4 (04) :394-401
[9]
Castellino S, 2011, BIOANALYSIS, V3, P2427, DOI [10.4155/BIO.11.232, 10.4155/bio.11.232]
[10]
Imaging Mass Spectrometry of a Specific Fragment of Mitogen-Activated Protein Kinase/Extracellular Signal-Regulated Kinase Kinase Kinase 2 Discriminates Cancer from Uninvolved Prostate Tissue [J].
Cazares, Lisa H. ;
Troyer, Dean ;
Mendrinos, Sawas ;
Lance, Raymond A. ;
Nyalwidhe, Julius O. ;
Beydoun, Hind A. ;
Clements, Mary Ann ;
Drake, Richard R. ;
Semmes, O. John .
CLINICAL CANCER RESEARCH, 2009, 15 (17) :5541-5551